Data Scientist

Posted 9 Days Ago
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Juncos, PRI
In-Office
Mid level
Biotech • Consulting • Pharmaceutical • Manufacturing
The Role
Lead end-to-end advanced analytics and ML projects across commercial, manufacturing, and supply chain teams. Build predictive models, prototypes, and algorithms (Python), query databases (SQL/Graph), use distributed computing (Spark/Hive), communicate results to stakeholders, and ensure regulatory and data privacy compliance.
Summary Generated by Built In

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.

We are seeking a talented, dedicated individual committed to work under the highest ethics standards for the following position:

  • Data Scientist

Description:

SUMMARY
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.

FUNCTIONS
1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization.
2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
3. Taking the initiative and work independently with minimal supervision
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
6. Working with SQL and other DB query languages
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets

EDUCATION

  • Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR

COMPETENCIES/SKILLS
1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
2. Experience leading the projects and in executions of the projects end to end
3. Experience with databases including relational, SQL, and Graph
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
7. Excellent organization/planning skills and talent for managing many large and complex datasets
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
11. Passion for learning and staying on top of current developments in advanced analytics.
12. Biotech / Pharma experience

At Validation & Engineering Group, people always come first. We believe that when you're empowered to do your best work, bold ideas thrive and real progress happens. This isn't just a job - it's an opportunity to make a meaningful difference by shaping the future of healthcare and technology alongside a purpose-driven, supportive team.

Excited to build something meaningful together? We look forward to hearing from you.

Validation & Engineering Group is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

Skills Required

  • Master's + 2 years OR Bachelor's + 4 years OR Associate's + 8 years in data science, statistics, analytics, computer science, engineering or related
  • Experience leading projects and executing analytics projects end-to-end
  • Experience with databases including relational databases, SQL, and Graph databases
  • Programming experience with Python, R, or SAS
  • Experience with ML libraries/frameworks: scikit-learn, MLlib, Keras, TensorFlow, PyTorch
  • Ability to write well-abstracted, reusable code (Python, R, or Scala) and work in Linux
  • Experience working with large datasets and distributed computing tools (Spark, Hive)
  • Strong problem solving, attention to detail, and decision-making skills
  • Excellent organization/planning skills and ability to manage large, complex datasets
  • Ability to collaborate, influence stakeholders, and communicate analysis clearly (Excel, PowerPoint)
  • Assure compliance with regulatory, security, and privacy requirements related to data assets
  • Biotech / Pharma industry experience
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The Company
154 Employees
Year Founded: 2019

What We Do

Pinnaql, Inc. is a professional services consulting firm providing quality, regulatory, and operational excellence solutions to biopharmaceutical, medical device, and CDMO companies worldwide. The company specializes in laboratory validation, engineering, and compliance, helping regulated life sciences organizations navigate manufacturing challenges, reduce execution risks, and accelerate the transition from lab innovation to commercial market readiness.

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